Publications by Tag

The following tags appear in the publications listed in the review:

AAAI ACCV ACL AISTATS Arxiv BMVC CIKM CIVR CNN CVIU CVPR CVPRW Case Study Cross Modal Cross-Modal Dataset Deep Hashing Deep Learning ECCV ECIR FOCS GAN Graph Has Code ICCV ICIP ICLR ICME ICML ICMR ICPR IJCAI IJCV Image Retrieval JCSS KDD LSH LSTM MM Minhash NAACL NIPS NeurIPS Online Pattern Recognition Letters Quantisation RNN SCG SDM SIGIR SIGMOD Self-Supervised Semi-Supervised Skewed Data Spectral Streaming Data Supervised Survey Survey Paper TIP TKDE TNNLS TOIS TOM TOMM TPAMI Text Retrieval Unsupervised VLDB Video Retrieval WWW Weakly Supervised

Tags

See below a list of all tags and the related papers

🏷 AAAI

• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua
• Online Hashing with Efficient Updating of Binary Codes Zhenyu Weng, Yuesheng Zhu
• Deep Unsupervised Image Hashing by Maximizing Bit Entropy Yunqiang Li, Jan van Gemert
• Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao
• Fast Online Hashing with Multi-Label Projection Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui

🏷 ACCV

• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero

🏷 ACL

• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

🏷 AISTATS

• Uncertainty-aware Unsupervised Video Hashing Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian
• BlockBoost: Scalable and Efficient Blocking through Boosting Thiago Ramos, Rodrigo Loro Schuller, Alex Akira Okuno, Lucas Nissenbaum, Roberto I Oliveira, Paulo Orenstein

🏷 Arxiv

• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Learning to Hash Robustly, with Guarantees Alexandr Andoni, Daniel Beaglehole

🏷 BMVC

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

🏷 CIKM

• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin

🏷 CIVR

• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng

🏷 CNN

• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

🏷 CVIU

• A non-alternating graph hashing algorithm for large scale image search Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shojaeddin Chenouri, Hamid R Tizhoosh

🏷 CVPR

• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Binary Code Ranking with Weighted Hamming Distance Lei Zhang, Yongdong Zhang, Jinhui Tang, Ke Lu, Qi Tian
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Hashing via Discrepancy Minimization Zhixiang Chen, Xin Yuan, Jiwen Lu*, Qi Tian, and Jie Zhou,
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• K-Nearest Neighbors Hashing Xiangyu He, Peisong Wang, Jian Cheng
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu
• Deep Normalized Cross-Modal Hashing With Bi-Direction Relation Reasoning Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan

🏷 CVPRW

• Adaptive Labeling for Deep Learning to Hash Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen

🏷 Case Study

• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

🏷 Cross Modal

• Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval Miaomiao Cheng, Liping Jing, Michael K. Ng
• Deep Normalized Cross-Modal Hashing With Bi-Direction Relation Reasoning Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan

🏷 Cross-Modal

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Cross-Modal Deep Variational Hashing Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song
• Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao
• Supervised Consensus Anchor Graph Hashing for Cross Modal Retrieval Rui Chen, Hongbin Wang

🏷 Dataset

• The MNIST Database of Handwritten Digits Y. LeCun, C. Cortes, C. Burges
• LabelMe: a database and web-based tool for image annotation B. Russell, A. Torralba, K. Murphy, W. T. Freeman
• The MIR Flickr Retrieval Evaluation. M. J. Huiskes, M. S. Lew
• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng
• Learning Multiple Layers of Features from Tiny Images A. Krizhevsky
• Datasets for approximate nearest neighbor search Herve Jegou, Laurent Amsaleg
• ImageNet: A large-scale hierarchical image database J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei
• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos
• Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollar
• Microsoft SPACEV-1B Microsoft
• Microsoft Turing-ANNS-1B Herve Jegou
• Facebook SimSearchNet++ Facebook/Meta
• Yandex DEEP-1B Yandex
• Yandex Text-to-Image-1B Yandex

🏷 Deep Hashing

• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou
• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao

🏷 Deep Learning

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Cross-Modal Deep Variational Hashing Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Hashing via Discrepancy Minimization Zhixiang Chen, Xin Yuan, Jiwen Lu*, Qi Tian, and Jie Zhou,
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Towards Optimal Deep Hashing via Policy Gradient Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Adaptive Labeling for Deep Learning to Hash Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Deep Variational and Structural Hashing Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, and Yap-Peng Tan
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Deep Hashing with Active Pairwise Supervision Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou
• Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos
• Deep Center-Based Dual-Constrained Hashing for Discriminative Face Image Retrieval Ming Zhang, Xuefei Zhe, Shifeng Chen and Hong Yan
• One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang,Chee Seng Chan,Yi-Zhe Song,Tao Xiang
• LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu
• Deep Normalized Cross-Modal Hashing With Bi-Direction Relation Reasoning Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan
• IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
• HARR: Learning Discriminative and High-quality Hash Codes for Image Retrieval Zeyu Ma, Siwei Wang, Xiao Luo, Zhonghui Gu, Chong Chen, Jinxing Li, Xian-Sheng Hua, Guangming Lu

🏷 ECCV

• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Towards Optimal Deep Hashing via Policy Gradient Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Deep Hashing with Active Pairwise Supervision Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou

🏷 ECIR

• Graph Regularised Hashing S. Moran, V. Lavrenko

🏷 FOCS

• Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions A. Andoni, P. Indyk
• Unsupervised Hashing with Similarity Distribution Calibration Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang

🏷 GAN

• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

🏷 Graph

• DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node Suhas Jayaram Subramanya, Fnu Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnawamy, Rohan Kadekodi

🏷 Has Code

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Semantic Hashing R. Salakhutdinov, G. Hinton
• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Strongly Constrained Discrete Hashing Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang
• Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang
• Learning to Hash Robustly, with Guarantees Alexandr Andoni, Daniel Beaglehole
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

🏷 ICCV

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Supervised binary hash code learning with jensen shannon divergence Lixin Fan
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• An NMF perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh
• kNN Hashing with Factorized Neighborhood Representation Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Cross-Modal Deep Variational Hashing Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long (B), Jianmin Wang, and Philip S. Yu
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong

🏷 ICIP

• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin

🏷 ICLR

• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

🏷 ICME

• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos

🏷 ICML

• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Hashing for Distributed Data Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov

🏷 ICMR

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang

🏷 ICPR

• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou
• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler

🏷 IJCAI

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan

🏷 IJCV

• Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos

🏷 Image Retrieval

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang
• A-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval Xiu-Shen Wei, Xiu-Shen_Wei,Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang
• Deep Unsupervised Image Hashing by Maximizing Bit Entropy Yunqiang Li, Jan van Gemert
• Deep Center-Based Dual-Constrained Hashing for Discriminative Face Image Retrieval Ming Zhang, Xuefei Zhe, Shifeng Chen and Hong Yan
• Learning to Hash Robustly, with Guarantees Alexandr Andoni, Daniel Beaglehole

🏷 JCSS

• Min-Wise Independent Permutations Andrei Z Broder,Moses Charikar,Alan M Frieze,Michael Mitzenmacher

🏷 KDD

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

🏷 LSH

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni
• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

🏷 LSTM

• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou

🏷 MM

• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu

🏷 Minhash

• DeSkew-LSH based Code-to-Code Recommendation Engine Fran Silavong, Sean Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter

🏷 NAACL

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko

🏷 NIPS

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning P. Jain, S. Vijayanarasimhan, K. Grauman
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Discrete Graph Hashing W. Liu, C. Mu, S. Kumar, S. Chang
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

🏷 NeurIPS

• DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node Suhas Jayaram Subramanya, Fnu Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnawamy, Rohan Kadekodi
• A-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval Xiu-Shen Wei, Xiu-Shen_Wei,Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang
• One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang,Chee Seng Chan,Yi-Zhe Song,Tao Xiang
• LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi

🏷 Online

• Fast Online Hashing with Multi-Label Projection Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui

🏷 Pattern Recognition Letters

• Locality sensitive hashing: a comparison of hash function types and querying mechanisms Loic Pauleve, Herve Jegou, Laurent Amsaleg
• Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing Sobhan Hemati, H.R. Tizhoosh

🏷 Quantisation

• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok
• Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing Sobhan Hemati, H.R. Tizhoosh

🏷 RNN

• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

🏷 SCG

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni

🏷 SDM

• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso

🏷 SIGIR

• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang

🏷 SIGMOD

• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen

🏷 Self-Supervised

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou

🏷 Semi-Supervised

• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua

🏷 Skewed Data

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan

🏷 Spectral

• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus

🏷 Streaming Data

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

🏷 Supervised

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Deep Hashing with Active Pairwise Supervision Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner
• LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu
• Fast Online Hashing with Multi-Label Projection Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui
• BlockBoost: Scalable and Efficient Blocking through Boosting Thiago Ramos, Rodrigo Loro Schuller, Alex Akira Okuno, Lucas Nissenbaum, Roberto I Oliveira, Paulo Orenstein
• Supervised Consensus Anchor Graph Hashing for Cross Modal Retrieval Rui Chen, Hongbin Wang

🏷 Survey

• A Survey on Deep Hashing Methods Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua

🏷 Survey Paper

• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen

🏷 TIP

• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Strongly Constrained Discrete Hashing Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin
• Unsupervised Discrete Hashing with Affinity Similarity Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xiansheng Hua
• Supervised Consensus Anchor Graph Hashing for Cross Modal Retrieval Rui Chen, Hongbin Wang

🏷 TKDE

• Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li

🏷 TNNLS

• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao

🏷 TOIS

• Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval Miaomiao Cheng, Liping Jing, Michael K. Ng

🏷 TOM

• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok

🏷 TOMM

• IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
• HARR: Learning Discriminative and High-quality Hash Codes for Image Retrieval Zeyu Ma, Siwei Wang, Xiao Luo, Zhonghui Gu, Chong Chen, Jinxing Li, Xian-Sheng Hua, Guangming Lu

🏷 TPAMI

• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Variational and Structural Hashing Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, and Yap-Peng Tan

🏷 Text Retrieval

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang

🏷 Unsupervised

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Locality sensitive hashing: a comparison of hash function types and querying mechanisms Loic Pauleve, Herve Jegou, Laurent Amsaleg
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Binary Code Ranking with Weighted Hamming Distance Lei Zhang, Yongdong Zhang, Jinhui Tang, Ke Lu, Qi Tian
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node Suhas Jayaram Subramanya, Fnu Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnawamy, Rohan Kadekodi
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing Sobhan Hemati, H.R. Tizhoosh
• Unsupervised Discrete Hashing with Affinity Similarity Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xiansheng Hua
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song
• Deep Unsupervised Image Hashing by Maximizing Bit Entropy Yunqiang Li, Jan van Gemert
• Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval Miaomiao Cheng, Liping Jing, Michael K. Ng
• Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao
• IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
• Uncertainty-aware Unsupervised Video Hashing Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian
• HARR: Learning Discriminative and High-quality Hash Codes for Image Retrieval Zeyu Ma, Siwei Wang, Xiao Luo, Zhonghui Gu, Chong Chen, Jinxing Li, Xian-Sheng Hua, Guangming Lu

🏷 VLDB

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

🏷 Video Retrieval

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou
• Uncertainty-aware Unsupervised Video Hashing Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian

🏷 WWW

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song

🏷 Weakly Supervised

• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li